DATA OPS
Weekly BigQuery Chargeback Report to a Coda Doc
Each Monday, rolls up the prior week's BigQuery spend by team label into a shareable Coda chargeback doc with week-over-week deltas, then announces the published report in Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerMonday 7am schedule
- ActionQuery last week's cost by team with top queriesBigQuery
- ActionQuery prior week totals for comparisonBigQuery
- LogicCompute week-over-week deltas per team
- ActionWrite rollup into Coda chargeback docCoda
- OutputAnnounce published report in SlackSlack
What it does
Produces a finance-ready weekly chargeback breakdown: total BigQuery cost per team for the last seven days, the change versus the prior week, and top queries per team, written into a structured Coda doc and announced in Slack.
When to use it
When finance does internal chargebacks and needs a clean weekly artifact per team rather than raw query logs. Use it to replace the manual spreadsheet someone rebuilds every Monday.
How it works
- 1A scheduled trigger fires Monday at 7am.
- 2A BigQuery action queries last week's jobs grouped by team label, returning cost and the top three costliest queries per team.
- 3A second BigQuery action pulls the prior week's totals for comparison.
- 4A logic step computes per-team week-over-week deltas and percentage change.
- 5A Coda action writes the rollup into the chargeback doc's weekly table and appends a dated section.
- 6A Slack action posts a link to the freshly published Coda report.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect CodaDocs, packs, automations.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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